"futureproof delivered a solid marketing intelligence system in record time."
"Their approach used lightweight, flexible tools that allowed us to get up and running quickly."
— Abe Uccello, Owner / Operator, PEAK Sensor Systems
PEAK Sensor Systems needed to establish a marketing function that could effectively monitor competitive intelligence and generate content, but with limited resources and a need for quick implementation.
They required a solution that could automatically gather industry news, identify market opportunities, and assist in content creation without requiring significant human oversight.
futureproof designed and built a new marketing function including a competitive marketing intelligence monitor and a content production pipeline.
The solution was implemented using low-code and no-code platforms to quickly develop a usable application with minimal development effort.
We created an automated system that scans industry publications, analyzes content, and drafts preliminary marketing materials for human review.
PEAK Sensor Systems provides structural monitoring solutions for infrastructure and industrial applications.
They needed a cost-effective way to monitor market trends and generate content for their marketing efforts with minimal resources.
Daily situational awareness report saved hours each week
Quickly identified market opportunities and competitive insights
Cost-effective solution with low operating costs ($0.50 per day)
Implementation completed within 1 week of project kickoff
Low-code/No-code Platform
AI Model Orchestration
Content Analysis Pipeline
Automated Reporting
Opportunity Assessment
Implementation Roadmap
Pilot Execution
Animated loading screen while the system pulls in the latest industry news
Inbox view showing filtered news and market intelligence items
Advanced search interface for finding specific market intelligence
Content filtering system allowing users to focus on specific industry sectors
System for saving and organizing important market insights
Activity dashboard showing AI model usage and costs
Behind-the-scenes view of the AI processing pipeline
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